Maria Krisnawati, Fadhila Rifda Azka Syailendri, A. A. Sibarani
The XYZ company is engaged in the production of construction materials such as Ready-Mix Concrete (RMC). XYZ company must increase productivity in order to compete with the industry’s rapid expansion in Banyumas, Indonesia. Scheduling production is one of the methods for boosting productivity. Utilizing a mathematical model and a single-machine approach, scheduling is arranged. Using a product delivery system that is integrated with the production process, a production scheduling model and allocation of product delivery vehicles, the Truck Mixer, are developed. The Genetic Algorithm is used to find a more effective scheduling solution. The results of this study indicate that the schedule generated by the genetic algorithm has a total reduction of ten job sequence completion times of 134363 seconds or 24% more efficient than the existing schedule on average.
{"title":"Ready Mix Concrete Production Scheduling and Truck Mixer Allocation Using Genetic Algorithm: A Case Study","authors":"Maria Krisnawati, Fadhila Rifda Azka Syailendri, A. A. Sibarani","doi":"10.4028/p-4kfzgm","DOIUrl":"https://doi.org/10.4028/p-4kfzgm","url":null,"abstract":"The XYZ company is engaged in the production of construction materials such as Ready-Mix Concrete (RMC). XYZ company must increase productivity in order to compete with the industry’s rapid expansion in Banyumas, Indonesia. Scheduling production is one of the methods for boosting productivity. Utilizing a mathematical model and a single-machine approach, scheduling is arranged. Using a product delivery system that is integrated with the production process, a production scheduling model and allocation of product delivery vehicles, the Truck Mixer, are developed. The Genetic Algorithm is used to find a more effective scheduling solution. The results of this study indicate that the schedule generated by the genetic algorithm has a total reduction of ten job sequence completion times of 134363 seconds or 24% more efficient than the existing schedule on average.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"66 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Determining a location where facilities will be built is one of the important factors in both business and military planning processes. Indonesia, as a country with a large area, has problems in determining the right location to place its fighter squadrons in the national defense system. This study used the Analytic Hierarchy Process (AHP) to solve the problem. There are five criteria considered in this study, there are deterrence strategy, balance strategy, aviation support facility, base support facility and environment. The study is aimed at obtaining six of the 10 Air Force air bases eligible for deployment of fighter squadrons. The six selected candidates were “C” (15.17%), “A” (15.16%), “F” (12.25%), “B” (12.16%), “E” (10.09%) and “D” (10.07%).
{"title":"Selection of Squadron Main Base Air Force Fighters Using the Analytical Hierarchy Process Method","authors":"Aura Pradhypta, Marshal Bhakti, Gagat Riano, Bambang Ismoyo","doi":"10.4028/p-dfvm6i","DOIUrl":"https://doi.org/10.4028/p-dfvm6i","url":null,"abstract":"Determining a location where facilities will be built is one of the important factors in both business and military planning processes. Indonesia, as a country with a large area, has problems in determining the right location to place its fighter squadrons in the national defense system. This study used the Analytic Hierarchy Process (AHP) to solve the problem. There are five criteria considered in this study, there are deterrence strategy, balance strategy, aviation support facility, base support facility and environment. The study is aimed at obtaining six of the 10 Air Force air bases eligible for deployment of fighter squadrons. The six selected candidates were “C” (15.17%), “A” (15.16%), “F” (12.25%), “B” (12.16%), “E” (10.09%) and “D” (10.07%).","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"27 s78","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. S. Fardhyanti, H. Prasetiawan, Hanif Ardhiansyah, Desy Hikmatul Siami, Randi Aswar
Recent studies indicate that bio-oil production from EFB is highly influenced by the temperature during pyrolysis. In this study the pyrolysis process was conducted at the optimum temperature of 500°C for 60 minutes and the nitrogen gas flowrate (N2) was varied between 1 and 3 L/min. The bio-oil itself can be obtained from the condensed gas pyrolysis product. The characteristics of bio-oil were then identified based on biofuel quality standards. The bio-oil was then tested in order to determine its physical properties such as its density, water content, and acid number. Besides, the chemical components of the bio oil were identified by using GC-MS. The results show that the density of bio-oil is within the range of 0.9918 - 1.0083 g/cm3. The highest water content produced is 27.22% at a flow rate of 1 L/min. The acid number of bio oil is ranging from 124.9 – 139.6 mg KOH / g. According to GCMS test results, linoleic acid content is high at a flow rate of 1 L / min, while hexadecane content dominates by 15.79% at a 2 L / min rate. Further observation on the rate of 3 L / min shows that phenol content increases.
{"title":"Influence of the Nitrogen Flowrates on the Bio Oil Production and Characterization from Pyrolysis of Oil Palm Empty Fruit Bunch","authors":"D. S. Fardhyanti, H. Prasetiawan, Hanif Ardhiansyah, Desy Hikmatul Siami, Randi Aswar","doi":"10.4028/p-fj7p21","DOIUrl":"https://doi.org/10.4028/p-fj7p21","url":null,"abstract":"Recent studies indicate that bio-oil production from EFB is highly influenced by the temperature during pyrolysis. In this study the pyrolysis process was conducted at the optimum temperature of 500°C for 60 minutes and the nitrogen gas flowrate (N2) was varied between 1 and 3 L/min. The bio-oil itself can be obtained from the condensed gas pyrolysis product. The characteristics of bio-oil were then identified based on biofuel quality standards. The bio-oil was then tested in order to determine its physical properties such as its density, water content, and acid number. Besides, the chemical components of the bio oil were identified by using GC-MS. The results show that the density of bio-oil is within the range of 0.9918 - 1.0083 g/cm3. The highest water content produced is 27.22% at a flow rate of 1 L/min. The acid number of bio oil is ranging from 124.9 – 139.6 mg KOH / g. According to GCMS test results, linoleic acid content is high at a flow rate of 1 L / min, while hexadecane content dominates by 15.79% at a 2 L / min rate. Further observation on the rate of 3 L / min shows that phenol content increases.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"356 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The largest contribution to air pollution comes from the transportation sector, especially motorcycles which reach up to 60%. This is an important issue. An effort chosen by the Indonesian government to realize the emission reduction target is by transitioning conventional motorcycles to electric motorcycles. The use of electric vehicles releases lower emissions than conventional vehicles that use fossil fuels. The trend of electric motorcycles adoption in adoption innovation and early adoption is being carried out in Indonesia. Thus, it is necessary to examine the factors that influence the adoption of electric motorcycles in Indonesia with various variable development models. In this study, the influence of mobility behavior, knowledge of electric motorcycles, availability of charging stations, battery replacement costs, and energy charging costs was observed on the selection of hybrid motorcycles, electric motorcycles with batteries, and electric motorcycles battery rental systems using a multinomial logit model. The research found the most chosen motorcycles is an electric motorcycles with a battery.
{"title":"Exploring the Adoption of Electric Motorcycle Based on Habits, Knowledge, Costs, and Infrastructure in Indonesia","authors":"Mizana Hanafillah, Y. Yuniaristanto, W. Sutopo","doi":"10.4028/p-jenw0o","DOIUrl":"https://doi.org/10.4028/p-jenw0o","url":null,"abstract":"The largest contribution to air pollution comes from the transportation sector, especially motorcycles which reach up to 60%. This is an important issue. An effort chosen by the Indonesian government to realize the emission reduction target is by transitioning conventional motorcycles to electric motorcycles. The use of electric vehicles releases lower emissions than conventional vehicles that use fossil fuels. The trend of electric motorcycles adoption in adoption innovation and early adoption is being carried out in Indonesia. Thus, it is necessary to examine the factors that influence the adoption of electric motorcycles in Indonesia with various variable development models. In this study, the influence of mobility behavior, knowledge of electric motorcycles, availability of charging stations, battery replacement costs, and energy charging costs was observed on the selection of hybrid motorcycles, electric motorcycles with batteries, and electric motorcycles battery rental systems using a multinomial logit model. The research found the most chosen motorcycles is an electric motorcycles with a battery.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"156 9‐12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study used the Morris-Lecar (ML) neuron model coupled with Short-Term Plasticity (STP) to simulate neuronal connectivity and synaptic patterns. We analyze this neural network synchronization activity, examined the post-synaptic conductance patterns in the modelled neural network, investigated the dynamics of the neural network membrane potentials in the synchronous state, and analyze the Short-Term Plasticity (STP) synaptic transmission patterns by varying the inter-neuron connection probability for both inhibitory (pi) and excitatory (pe). This computational-based study was executed using Brian2 Simulator. The results revealed that the higher the connection probability, the more connections and synapses are formed. The greater value of pe, the more synchronous the neural network activity. In contrast, the higher value of pi, the less synchronous the neural network activity. A synchronous neural network implies that the spikes occur coincidentally, where coincidental spikes lead to easily detectable membrane potentials and postsynaptic conductance. Furthermore, spikes affect the release of neurotransmitters, thereby affecting synaptic transmission patterns. We further determined the frequency of this neural network synchronization.
{"title":"Neural Network Synchronization of the Morris-Lecar Neuron Model Coupled with Short-Term Plasticity (STP)","authors":"Anis Yuniati, Retno Dwi Astuti","doi":"10.4028/p-ymnn4n","DOIUrl":"https://doi.org/10.4028/p-ymnn4n","url":null,"abstract":"This study used the Morris-Lecar (ML) neuron model coupled with Short-Term Plasticity (STP) to simulate neuronal connectivity and synaptic patterns. We analyze this neural network synchronization activity, examined the post-synaptic conductance patterns in the modelled neural network, investigated the dynamics of the neural network membrane potentials in the synchronous state, and analyze the Short-Term Plasticity (STP) synaptic transmission patterns by varying the inter-neuron connection probability for both inhibitory (pi) and excitatory (pe). This computational-based study was executed using Brian2 Simulator. The results revealed that the higher the connection probability, the more connections and synapses are formed. The greater value of pe, the more synchronous the neural network activity. In contrast, the higher value of pi, the less synchronous the neural network activity. A synchronous neural network implies that the spikes occur coincidentally, where coincidental spikes lead to easily detectable membrane potentials and postsynaptic conductance. Furthermore, spikes affect the release of neurotransmitters, thereby affecting synaptic transmission patterns. We further determined the frequency of this neural network synchronization.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"2 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Cyber Security and Digital Forensics (CSFD) Open Journal System (OJS) website owned by the information technology center and database (PTIPD) Islamic University Negri Sunan Kalijaga Yogyakarta is a software content management system (CMS) application that is intended as a media and means of research publications from academic research. Web-based applications that are not properly monitored will have the impact of being attacked by attackers. Vulnerability gaps that have been found by irresponsible attackers will have a very bad impact on the performance of the website application. From the summary of the results of the vulnerability scan, the researcher did not find high status vulnerability gaps using Aucentix tools, the researcher only found 18 vulnerability gaps at the medium risk level, 8 vulnerability gaps at low level and 10 informational vulnerability loopholes. As a comparison, the researchers conducted another scan using the OWAS-ZAP (Zed Attack Proxy) tool and found 17 vulnerabilities with details: 1 with high status, 4 with medium status, 8 with low status and 4 with informational status. The research is based on the OWASP Top-10 method as a measure and parameter in testing using penetration testing. researchers got 1 test result with successful status, namely Using Components with Known Vulnerabilities. Then the researcher found 1 type of vulnerability with posibility status, namely Sensitive Data Exposure with finding data that was not sensitive and 8 vulnerabilities that were not discovered, including: 1. Broken Authentication, 2. Cross-Site Scripting, 3. Security Misconfiguration, 4. Insufficient Logging and Monitoring, 5. Broken Access Control, 6. SQL Injection, 7. XML External Entities , 8. Insecure Deserialization.
{"title":"Web Application Vulnerability Analysis Using the OWASP Method (Case Study: OJS CSFD UIN Sunan Kalijaga Yogyakarta)","authors":"Bad'ul Hilmi Arromdoni, Mandahadi Kusuma, Bambang Sugiantoro","doi":"10.4028/p-fosz2d","DOIUrl":"https://doi.org/10.4028/p-fosz2d","url":null,"abstract":"The Cyber Security and Digital Forensics (CSFD) Open Journal System (OJS) website owned by the information technology center and database (PTIPD) Islamic University Negri Sunan Kalijaga Yogyakarta is a software content management system (CMS) application that is intended as a media and means of research publications from academic research. Web-based applications that are not properly monitored will have the impact of being attacked by attackers. Vulnerability gaps that have been found by irresponsible attackers will have a very bad impact on the performance of the website application. From the summary of the results of the vulnerability scan, the researcher did not find high status vulnerability gaps using Aucentix tools, the researcher only found 18 vulnerability gaps at the medium risk level, 8 vulnerability gaps at low level and 10 informational vulnerability loopholes. As a comparison, the researchers conducted another scan using the OWAS-ZAP (Zed Attack Proxy) tool and found 17 vulnerabilities with details: 1 with high status, 4 with medium status, 8 with low status and 4 with informational status. The research is based on the OWASP Top-10 method as a measure and parameter in testing using penetration testing. researchers got 1 test result with successful status, namely Using Components with Known Vulnerabilities. Then the researcher found 1 type of vulnerability with posibility status, namely Sensitive Data Exposure with finding data that was not sensitive and 8 vulnerabilities that were not discovered, including: 1. Broken Authentication, 2. Cross-Site Scripting, 3. Security Misconfiguration, 4. Insufficient Logging and Monitoring, 5. Broken Access Control, 6. SQL Injection, 7. XML External Entities , 8. Insecure Deserialization.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"30 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siwi Qoirinisa, Dodi Irwanto, Karmanto Karmanto, E. Sedyadi
The manufacture of bioplastic from potato starch (Solanum tuberosum L.) and glycerol from waste cooking oil with the addition of TiO2 has been done by varying the concentration of TiO2. This study aims to study the effect of the addition of TiO2 on the physical and mechanical properties of potato starch and glycerol from leech oil. The research was conducted by making glycerol from waste cooking oil, making bioplastic film with various concentrations of TiO2 (0; 1; 2; 3 and 4%), characterization of bioplastic, which includes physical and mechanical properties. The addition of TiO2 as a bioplastic filler can affect its physical and mechanical properties. The result showed that each addition of 1% TiO2 increased the thickness by 22,966 microns, the tensile strength value by 0.0853 N/mm2, the average Young’s modulus by 0.0599 MPa, and decreased elongation by 5.0987%. The best bioplastic mechanical test results were produced at a starch composition of 2.5 grams and 2% (w/w) of TiO2 particles.
{"title":"The Effect of Adding TiO2 Filler on The Physical and Mechanical Properties of Bioplastic Based Potato Starch (Solanum tubersom L.) and Glycerol from Waste Cooking Oil","authors":"Siwi Qoirinisa, Dodi Irwanto, Karmanto Karmanto, E. Sedyadi","doi":"10.4028/p-i5ymif","DOIUrl":"https://doi.org/10.4028/p-i5ymif","url":null,"abstract":"The manufacture of bioplastic from potato starch (Solanum tuberosum L.) and glycerol from waste cooking oil with the addition of TiO2 has been done by varying the concentration of TiO2. This study aims to study the effect of the addition of TiO2 on the physical and mechanical properties of potato starch and glycerol from leech oil. The research was conducted by making glycerol from waste cooking oil, making bioplastic film with various concentrations of TiO2 (0; 1; 2; 3 and 4%), characterization of bioplastic, which includes physical and mechanical properties. The addition of TiO2 as a bioplastic filler can affect its physical and mechanical properties. The result showed that each addition of 1% TiO2 increased the thickness by 22,966 microns, the tensile strength value by 0.0853 N/mm2, the average Young’s modulus by 0.0599 MPa, and decreased elongation by 5.0987%. The best bioplastic mechanical test results were produced at a starch composition of 2.5 grams and 2% (w/w) of TiO2 particles.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"77 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Silver (Ag) is one of the heavy metal wastes in the silver industry. Silver metal (Ag) contamination has an impact on human health and the environment so that a metal waste treatment method is needed to minimize the impact. This study used coffee grounds as an adsorbent for silver metal (Ag). The purpose of this study was to determine the characteristics of the adsorbent functional groups, adsorption time stability, optimum adsorbent mass, type of adsorption isotherm, and adsorption free energy (ΔGoAds). Activated carbon was prepared through three processes, namely baking at 110 oC for 2 hours, carbonization at 400 oC for 3 hours, and activation with 1 M H3PO4 for 24 hours. The characterization of the adsorbent was carried out using Fourier Transform Infrared Spectroscopy (FTIR). The results of the adsorbent characterization indicated the presence of functional groups, namely, C-H(Csp3), aromatic C=C, -CH3, and P=O from the remaining H3PO4 activator which experienced a shift in absorption as the adsorbent was treated. The results of this study showed that the stability of Ag adsorption time was 60 minutes and the optimum adsorbent mass was 1 gram. Adsorption isotherm type of metal Ag is Freudlich isotherm with linear equation y = 0.9084x + 0.6272 and R2 value of 0.9219. Isotherm Freudlich provides information on the n value of 1.1008 and KF of 4.238 L/mg. Calculation of adsorption free energy (ΔGoAds) obtained a value of-12.395 kJ/mol so that the adsorption process occurs physically.
{"title":"Adsorption Study of Activated Carbon from Coffee Grounds with H3PO4 Activator as Silver (Ag) Adsorbent","authors":"Mohammad Ahsani Taqwim, S. Y. Prabawati","doi":"10.4028/p-ijw10t","DOIUrl":"https://doi.org/10.4028/p-ijw10t","url":null,"abstract":"Silver (Ag) is one of the heavy metal wastes in the silver industry. Silver metal (Ag) contamination has an impact on human health and the environment so that a metal waste treatment method is needed to minimize the impact. This study used coffee grounds as an adsorbent for silver metal (Ag). The purpose of this study was to determine the characteristics of the adsorbent functional groups, adsorption time stability, optimum adsorbent mass, type of adsorption isotherm, and adsorption free energy (ΔGoAds). Activated carbon was prepared through three processes, namely baking at 110 oC for 2 hours, carbonization at 400 oC for 3 hours, and activation with 1 M H3PO4 for 24 hours. The characterization of the adsorbent was carried out using Fourier Transform Infrared Spectroscopy (FTIR). The results of the adsorbent characterization indicated the presence of functional groups, namely, C-H(Csp3), aromatic C=C, -CH3, and P=O from the remaining H3PO4 activator which experienced a shift in absorption as the adsorbent was treated. The results of this study showed that the stability of Ag adsorption time was 60 minutes and the optimum adsorbent mass was 1 gram. Adsorption isotherm type of metal Ag is Freudlich isotherm with linear equation y = 0.9084x + 0.6272 and R2 value of 0.9219. Isotherm Freudlich provides information on the n value of 1.1008 and KF of 4.238 L/mg. Calculation of adsorption free energy (ΔGoAds) obtained a value of-12.395 kJ/mol so that the adsorption process occurs physically.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"33 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Implementing shift work is a common practice to boost productivity in various industries. Despite its advantages in sustaining continuous business operations, shift work has negative effects on the physical health of its employees. Both immediate and long-term health effects may result from this kind of work. Acute health impacts of working in shifts include fatigue and loss of focus at work. However, it is unclear, whether there are differences between shift work and non-shift work in relation to sleep and fatigue, particularly among Indonesian coal mining workers. This cross-sectional study collected field data from a coal mining company in East Kalimantan, Indonesia, using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). This study included 397 respondents classified as non-shift, 2-shift and 3-shift workers. It was found that (2-shift and 3-shift) sleep for around 30 minutes shorter than non-shift workers. The coal miners with the lowest sleep efficiency were those who worked two shifts. There are significance differences between sleep duration, sleep efficiency, educational attainment, working task, sleep quality, and fatigue among non-shift, 2-shift, and 3-shift workers. Working on shifts increases the level of fatigue and sleepiness at work. Coal mining operations are required to operate continuously, and working with shifts is inevitable. In contrast, shift work increases the danger of an accident and has a negative impact on one's health. Thus, to mitigate the risks associated with shift work, it is essential to have a well-managed shift work schedule that considers the unique characteristics of each worker.
{"title":"Overview of Sleep and Fatigue at Indonesian Coal Mining Workers Working with Shift Work","authors":"Stevan Deby Anbiya Muhamad Sunarno, Keneth Sedilla, Takayuki Nishimura, Takafumi Maeda","doi":"10.4028/p-oroux1","DOIUrl":"https://doi.org/10.4028/p-oroux1","url":null,"abstract":"Implementing shift work is a common practice to boost productivity in various industries. Despite its advantages in sustaining continuous business operations, shift work has negative effects on the physical health of its employees. Both immediate and long-term health effects may result from this kind of work. Acute health impacts of working in shifts include fatigue and loss of focus at work. However, it is unclear, whether there are differences between shift work and non-shift work in relation to sleep and fatigue, particularly among Indonesian coal mining workers. This cross-sectional study collected field data from a coal mining company in East Kalimantan, Indonesia, using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). This study included 397 respondents classified as non-shift, 2-shift and 3-shift workers. It was found that (2-shift and 3-shift) sleep for around 30 minutes shorter than non-shift workers. The coal miners with the lowest sleep efficiency were those who worked two shifts. There are significance differences between sleep duration, sleep efficiency, educational attainment, working task, sleep quality, and fatigue among non-shift, 2-shift, and 3-shift workers. Working on shifts increases the level of fatigue and sleepiness at work. Coal mining operations are required to operate continuously, and working with shifts is inevitable. In contrast, shift work increases the danger of an accident and has a negative impact on one's health. Thus, to mitigate the risks associated with shift work, it is essential to have a well-managed shift work schedule that considers the unique characteristics of each worker.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"150 6‐8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
License plates play an important role in vehicle identification in a variety of applications such as traffic safety, parking management, and traffic enforcement. In this study, we propose the development of license plate recognition applications using optical character recognition (OCR) and convolutional neural network (CNN) techniques. The OCR method is used to recognize characters on license plates and the CNN method is used to recognize license plates in images. The purpose of this research is to develop a system that can automatically recognize and recognize license plates in images. The OCR method accurately recognizes the characters on the license plate. Additionally, the CNN method is employed to detect license plates with good accuracy, even in various formats of license plates. The proposed methods in this research are implemented in the form of an application using the Python programming language. The application takes vehicle images as input and produces text recognition of the license plate as output. Furthermore, the application can also display additional information such as date, time, location, and detected vehicle type. Through this research, it is expected that the license plate recognition application using OCR and CNN methods can contribute to improving efficiency and reliability in automatic license plate recognition. Moreover, this application also has the potential to be used in various security applications, traffic monitoring, and automatic vehicle recognition
{"title":"Application of Optical Character Recognizer Prototype and Convulsion Neural Network for Vehicle License Plate Detection","authors":"Fuad Achmadi, Fathur Rachman Nufaily, Afdi Fauzul Bahar, Shofwatul Uyun","doi":"10.4028/p-2fj9dn","DOIUrl":"https://doi.org/10.4028/p-2fj9dn","url":null,"abstract":"License plates play an important role in vehicle identification in a variety of applications such as traffic safety, parking management, and traffic enforcement. In this study, we propose the development of license plate recognition applications using optical character recognition (OCR) and convolutional neural network (CNN) techniques. The OCR method is used to recognize characters on license plates and the CNN method is used to recognize license plates in images. The purpose of this research is to develop a system that can automatically recognize and recognize license plates in images. The OCR method accurately recognizes the characters on the license plate. Additionally, the CNN method is employed to detect license plates with good accuracy, even in various formats of license plates. The proposed methods in this research are implemented in the form of an application using the Python programming language. The application takes vehicle images as input and produces text recognition of the license plate as output. Furthermore, the application can also display additional information such as date, time, location, and detected vehicle type. Through this research, it is expected that the license plate recognition application using OCR and CNN methods can contribute to improving efficiency and reliability in automatic license plate recognition. Moreover, this application also has the potential to be used in various security applications, traffic monitoring, and automatic vehicle recognition","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":"112 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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